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Dual-Stage Social Friend Recommendation System Based on User Interests

The use of online social network (OSN) has become essential to humans' lives whether for entertainment, business or shopping. This increasing use of OSN motivates designing and implementing special systems that use OSN users' data to provide better user experience using machine learning and data mining algorithms and techniques. One system that is used extensively for this purpose is friend recommendation system (FRS) in which it recommends users to other users in professional or entertaining online social networks.

For this purpose, this study proposes a novel friend recommendation system, namely Hybrid Friend Recommendation (FR) model. The Hybrid model applies dual-stage methodology on unlabeled data of 1241 users collected from OSN users via our online survey platform featuring user interests and activities based upon which users with similar social behavioral patterns are recommended to each other. The model employs a variety of techniques including user-based collaborative filtering (UBCF) approach and graph-based approach friend-of-friend recommendation (FOF). The model offers unique solutions to common problems of FRS such as data sparsity by using dimensionality technique called non-negative matrix factorization (NMF) to create a dense representation of the collected data and reduce its sparsity as well as providing seamless integration with other FRSs. The evaluation of the hybrid FR model shows positive correlation of Pearson correlation coefficient (PCC) compared to the baseline used.

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Publication Date
Mon Apr 15 2019
Journal Name
Proceedings Of The International Conference On Information And Communication Technology
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Publication Date
Thu Aug 01 2019
Journal Name
2019 2nd International Conference On Engineering Technology And Its Applications (iiceta)
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Publication Date
Mon May 28 2018
Journal Name
Iraqi Journal Of Science
M A Modified Similarity Measure for Improving Accuracy of User-Based Collaborative Filtering: Nadia Fadhil

Production sites suffer from idle in marketing of their products because of the lack in the efficient systems that analyze and track the evaluation of customers to products; therefore some products remain untargeted despite their good quality. This research aims to build a modest model intended to take two aspects into considerations. The first aspect is diagnosing dependable users on the site depending on the number of products evaluated and the user's positive impact on rating. The second aspect is diagnosing products with low weights (unknown) to be generated and recommended to users depending on logarithm equation and the number of co-rated users. Collaborative filtering is one of the most knowledge discovery techniques used positive

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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
A Word Cloud Model based on Hate Speech in an Online Social Media Environment

Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to develop a word cloud model based on hateful words on online social media environment such as Google News. Several steps are involved including data acq

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Publication Date
Sat Feb 05 2022
Journal Name
Applied Nanoscience
RETRACTED ARTICLE: The impact of fear on a stage structure prey–predator system with anti-predator behavior

A prey-predator interaction model has been suggested in which the population of a predator consists of a two-stage structure. Modified Holling's disk equation is used to describe the consumption of the prey so that it involves the additional source of food for the predator. The fear function is imposed on prey. It is supposed that the prey exhibits anti-predator behavior and may kill the adult predator due to their struggle against predation. The proposed model is investigated for existence, uniqueness, and boundedness. After determining all feasible equilibrium points, the local stability analyses are performed. In addition, global stability analyses for this model using the Lyapunov method are investigated. The chance of occurrence of loc

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Publication Date
Thu Aug 03 2023
Journal Name
Journal Of Legal Sciences
The Legal System of the Social Health Insurance in Egypt and its Impact on Iraq

Iraq issued the social Health Insurance Law No. 2 in 2020, thus taking its first step to introduce the universal health coverage. When the previous law was enacted, it was inspired by a number of countries, including the Arab Republic of Egypt, which began implementing the health insurance system since 2018, calling it universal health insurance and issued its law No. 2 of 2018, which was entitled as "The universal Health Insurance Law of the Arab Republic of Egypt". A national project at the all state level, such as the health insurance project, needs a set of equipment, both in terms of preparing the infrastructure or in terms of cooperation with health institutions in the public and private sectors, and both in terms of automating and

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Publication Date
Sun Dec 02 2018
Journal Name
Journal Of The College Of Education For Women
Poverty and its Relations to Some Social Variables (Children in the Primary Stage as a Model)

The phenomenon of poverty is one of the most important phenomena facing the world at large. Despite the tremendous technological progress witnessed by mankind and despite the unprecedented high levels of world economic production, poverty remains the greatest challenge facing the world. Statistics and studies have shown that poverty is caused by several problems: (health, social, economic, educational, etc.) These problems are obstacles to the ability to obtain employment opportunities, which leads in the beginning to the growth phenomenon of unemployment, and ultimately to the growth of poverty.

The results of a range of research in the field of psychology have confirmed that children from poor homes suffer from a high level of

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Publication Date
Sun Apr 03 2016
Journal Name
Journal Of Educational And Psychological Researches
Psychological adjustment and social relationship with the phenomenon of violence among children in pre-school stage

The childhood is an important stage in building the character of the individual and where children acquire the most important experiences . providing proper growth requirements of the things follows assist them in achieving a stable and together Childhood is the violence of indicators that can determine whether personal or illness social .the social circumstances experienced community Iraqi and continues through crises successive wars and explosions and the displacement and that these events may lead to changes in the social behavior of individuals and may contribute to the spread of violence in Iraqi society and observed various forms in (home, school, street, and work), so it was natural that a child the first affected by these waves o

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Publication Date
Mon May 28 2018
Journal Name
Iraqi Journal Of Science
User Authentication via Mouse Dynamics

Nowadays, the development of internet communication and the significant increase of using computer lead in turn to increasing unauthorized access. The behavioral biometric namely mouse dynamics is one means of achieving biometric authentication to safeguard against unauthorized access. In this paper, user authentication models via mouse dynamics to distinguish users into genuine and imposter are proposed.  The performance of the proposed models is evaluated using a public dataset consists of 48 users as an evaluation data, where the Accuracy (ACC), False Reject Rate (FRR), and False Accept Rate (FAR) as an evaluation metrics. The results of the proposed models outperform related model considered in the literature.

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Publication Date
Sun Sep 03 2023
Journal Name
Iraqi Journal Of Computers, Communications, Control & Systems Engineering (ijccce)
Efficient Iris Image Recognition System Based on Machine Learning Approach

HM Al-Dabbas, RA Azeez, AE Ali, IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2023

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